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Add Ingero - eBPF GPU causal observability for production ML #773

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Expand Up @@ -347,6 +347,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
* [HumanEval](https://github.com/openai/human-eval)![](https://img.shields.io/github/stars/openai/human-eval.svg?cacheSeconds=86400) - HumanEval is a benchmark for evaluating the functional correctness of code generation models using Python programming problems with unit tests.
* [Helicone](https://github.com/Helicone/helicone) ![](https://img.shields.io/github/stars/Helicone/helicone.svg?cacheSeconds=86400) - Helicone is the all-in-one, open-source LLM developer platform.
* [HELM](https://github.com/stanford-crfm/helm) ![](https://img.shields.io/github/stars/stanford-crfm/helm.svg?cacheSeconds=86400) - HELM (Holistic Evaluation of Language Models) provides tools for the holistic evaluation of language models, including standardized datasets, a unified API for various models, diverse metrics, r, and fairness perturbations, a prompt construction framework, and a proxy server for unified model access.
* [Ingero](https://github.com/ingero-io/ingero) ![](https://img.shields.io/github/stars/ingero-io/ingero.svg?cacheSeconds=86400) - Ingero is an open-source eBPF agent and MCP server for production ML, tracing the causal chain from Linux kernel events through CUDA API calls to Python source lines with <2% overhead, zero code changes, and one binary.
* [Inspect](https://github.com/UKGovernmentBEIS/inspect_ai) ![](https://img.shields.io/github/stars/UKGovernmentBEIS/inspect_ai.svg?cacheSeconds=86400) - Inspect is a framework for large language model evaluations.
* [JiWER](https://github.com/jitsi/jiwer) ![](https://img.shields.io/github/stars/jitsi/jiwer.svg?cacheSeconds=86400) - JiWER is a simple and fast python package to evaluate an automatic speech recognition system.
* [Laminar](https://github.com/lmnr-ai/lmnr) ![](https://img.shields.io/github/stars/lmnr-ai/lmnr.svg?cacheSeconds=86400) - Laminar is an open-source platform to trace, evaluate, label, and analyze LLM data for AI products.
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